Demand Is Being Rewritten.
Predict+ delivers adaptive, AI-powered electricity load forecasting that learns from every meter in your portfolio. From individual smart meter endpoints to aggregate grid demand, our models continuously recalibrate to the demand patterns that matter — even when those patterns are changing faster than ever.
Why Load Forecasting Is Broken
US electricity consumption rising nearly 2% annually — the first sustained increase in almost 20 years
After two decades of flat demand, electricity consumption is climbing again. Data centers, manufacturing reshoring, EV adoption, and building electrification are converging to create load growth patterns that historical baselines can’t predict. Legacy regression-based models trained on flat demand are structurally unprepared for this shift.
A handful of peak hours can drive 10–20% of a region’s annual transmission investment
The grid must be sized for its worst hours, not its average hours. Missing a coincident peak forecast doesn’t just mean imbalance charges — it drives billions in transmission and capacity investment. Utilities and retailers that can’t predict peak magnitude and timing are overpaying for reserves they may not need, or underhedging against spikes they didn’t see coming.
93% of new US capacity in 2025 was renewable — much of it distributed and invisible
As rooftop and distributed solar scales, net load at the meter no longer tells the full story. Without real device-level visibility into behind-the-meter generation, utilities and grid operators can’t accurately reconstruct gross load, identify minimum-demand windows, or plan for reverse power flows.
Adaptive Load Forecasting for Modern Utilities
Most load forecasting platforms start with weather data and work backward to demand. Predict+ starts with your meters and works outward.
Our AI models ingest raw smart meter consumption data — individual endpoints or aggregated portfolios — and augment it with weather forecasts, calendar effects, economic indicators, DER profiles, and behavioral signals. The result is a demand forecast built from the bottom up, grounded in what your customers are actually doing, not what a weather model assumes they should be doing.
But Predict+ has an advantage no pure-software forecaster can match: Tigo’s hardware is deployed across hundreds of thousands of solar, inverter, and battery systems worldwide. That installed base generates continuous intelligence on how distributed energy resources actually behave — when rooftop solar ramps, how batteries cycle, where inverter clipping masks true production. This real-world DER behavioral data feeds directly into our demand models, giving Predict+ a structural understanding of how behind-the-meter resources reshape the load profiles that utilities, retailers, and grid operators see at the meter. The result: approximately 3% deviation from actual — outperforming legacy spreadsheet-based approaches by up to 11%.
~3% Deviation from Actual
Predict+ outperforms legacy spreadsheet-based approaches by up to 11%, with accuracy maintained through COVID-19, armed conflict, and extreme weather events.
Real DER Behavioral Intelligence
Hundreds of thousands of Tigo solar, inverter, and battery systems generate continuous data on how distributed energy actually reshapes the load profiles your grid sees at the meter.
How Energy Leaders Use Predict+
From scheduling and compliance to portfolio optimization and asset diagnostics — see how Predict+ fits into the workflows your team already runs.
Day-Ahead & Short-Term Load Forecasting
For: Utility Operations, Trading Desks, Retailers
Deliver precise day-ahead and intraday demand forecasts for grid zones, portfolios, or individual meters. Predict+ provides 15-day forward-looking forecasts updated continuously as new meter data, weather updates, and market signals arrive. Our models outperform ISO forecasts by 3x on average, giving your operations and trading teams the confidence to schedule bids, manage positions, and balance load with accuracy.
Long-Term Demand Planning & Scenario Modeling
For: Resource Planners, Regulatory Teams, Grid Strategists
Simulate demand across 1–5 year horizons with flexible scenario modeling. Account for meter growth, customer churn, EV adoption rates, data center load additions, building electrification, and weather pattern variability. Predict+ transforms your IRP process from a static spreadsheet exercise into a dynamic, AI-driven planning capability.
Coincident Peak Prediction & Demand Response
For: Demand Response Managers, C&I Account Managers, Procurement
Anticipate coincident peak events before they happen. Predict+ delivers proactive peak magnitude and timing forecasts that power demand response programs, load shedding decisions, and procurement strategies. Reduce critical peak costs by knowing in advance when your grid region will experience its highest demand hours — not after the fact.
Portfolio-Level Retail Load Management
For: Energy Retailers, Greentailers, Portfolio Managers
Manage load risk across your retail book with meter-level precision. Predict+ aggregates individual customer forecasts into portfolio-level views, enabling accurate procurement planning, margin protection, and customer segmentation. Identify high-value customers, model acquisition scenarios, and link consumption forecasts directly to billing and settlement systems via API.
Predict+ Load Forecasting by the Numbers
Forecast accuracy
Meters under management
Energy under management
More accurate than legacy spreadsheet methods
From Meter to Market: Adaptive AI at Every Resolution
Predict+ ingests raw smart meter data, augments it with multi-source weather ensembles, economic indicators, and DER profiles, and runs it through proprietary AI/ML models that continuously learn from your portfolio’s unique consumption patterns — producing forecasts from sub-hourly to multi-year horizons.
Ingests smart meter feeds, weather ensembles, economic indicators, and real DER behavioral data from Tigo’s installed fleet
Adaptive AI models recalibrate hourly to regime changes, weather extremes, and shifting load shapes — no manual retraining
Delivers via API, SFTP, and direct EMS/SCADA integration from sub-hourly to 5-year horizons in one platform
What Your Demand Forecasting Platform Can Do
Every capability is built to work at individual meter resolution — from a single endpoint to millions across your portfolio.
Meter-to-Grid Resolution
Forecast at the individual smart meter, substation, or grid zone level.
Multi-Horizon Forecasting
5-minute nowcasts through 14-day-ahead forecasts and seasonal outlooks.
Works with Incomplete Data
Generates excellent results even with gaps in meter data.
Crisis-Tested Resilience
Proven accuracy through COVID-19, conflict, and extreme weather events.
Regulatory Compliance Automation
Automatically generate forecast plans and regulatory reports.
Rapid Deployment
Full data connection in hours, operational in under a week.
What Better Load Forecasting Delivers
Predict+ customers see measurable improvements from day one — because accuracy at the meter level compounds across every operational and financial decision downstream.
More accurate demand forecasts reduce over-procurement and costly spot market exposure. Utilities and retailers align wholesale purchases to actual consumption patterns, not inflated safety margins.
Proactive peak timing and magnitude forecasts power demand response activation and load shedding decisions before critical peaks hit — not after the bill arrives.
Why Predict+ vs. Alternatives
See how Predict+ compares to legacy forecasters, pure-software vendors, and point solutions across the capabilities that matter most.
Ready to See What Your Grid Will Demand Tomorrow?
